Data Scientist (Fraud)
Moniepoint · Remote, Kenya
About the role
Who we are
Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly . Our mission is to enable financial happiness for every African, everywhere .
About this role:
We're looking for a Data Scientist to sit at the heart of how we fight fraud — building the models, experiments, and detection systems that protect millions of customers and merchants across our platform . This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats .
You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime . You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems .
Responsibilities:
Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles .
Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction .
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